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c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.1.3) Requirement already satisfied: widgetsnbextension~=3.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (3.5.1) Requirement already satisfied: jupyterlab-widgets>=1.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.0.0) Requirement already satisfied: traitlets>=4.3.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.0.5) Requirement already satisfied: jupyter-client in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from 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Requirement already satisfied: decorator in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.0.9) Requirement already satisfied: backcall in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.2.0) Requirement already satisfied: colorama in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.4.4) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (3.0.17) Requirement already satisfied: matplotlib-inline in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.1.2) Requirement already satisfied: pygments in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.9.0) Requirement already satisfied: parso<0.9.0,>=0.8.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jedi>=0.16->ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.8.2) Requirement already satisfied: MarkupSafe>=2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jinja2>=2.9->folium>=0.12.0->leafmap) (2.0.1) Requirement already satisfied: ipython-genutils in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from 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jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.16.0) Requirement already satisfied: pyrsistent>=0.14.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.17.3) Requirement already satisfied: wcwidth in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.2.5) Requirement already satisfied: notebook>=4.4.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.4.0) Requirement already satisfied: pyzmq>=17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (22.2.1) Requirement already satisfied: argon2-cffi in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (20.1.0) Requirement already satisfied: Send2Trash>=1.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.5.0) Requirement already satisfied: prometheus-client in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.11.0) Requirement already satisfied: terminado>=0.8.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.9.4) Requirement already satisfied: nbconvert in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.1.0) Requirement already satisfied: python-dateutil>=2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.8.2) Requirement already satisfied: pywin32>=1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jupyter-core->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (228) Requirement already satisfied: pywinpty>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from terminado>=0.8.3->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.7) Requirement already satisfied: cffi>=1.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.14.6) Requirement already satisfied: pycparser in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.20) Requirement already satisfied: traittypes>=0.0.6 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from bqplot->leafmap) (0.2.1) Requirement already satisfied: pillow>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (8.3.1) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (1.3.1) Requirement already satisfied: cycler>=0.10 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (0.10.0) Requirement already satisfied: pyparsing>=2.2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (2.4.7) Requirement already satisfied: jupyterlab-pygments in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.1.2) Requirement already satisfied: entrypoints>=0.2.2 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.3) Requirement already satisfied: testpath in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.0) Requirement already satisfied: defusedxml in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.7.1) Requirement already satisfied: pandocfilters>=1.4.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.4.3) Requirement already satisfied: mistune<2,>=0.8.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.8.4) Requirement already satisfied: bleach in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (4.0.0) Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.3) Requirement already satisfied: nest-asyncio in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from 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c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (1.3.1) Requirement already satisfied: shapely>=1.6 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (1.7.1) Requirement already satisfied: attrs>=17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (21.2.0) Requirement already satisfied: click<8,>=4.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (7.1.2) Requirement already satisfied: cligj>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (0.7.2) Requirement already satisfied: click-plugins>=1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (1.1.1) Requirement already satisfied: six>=1.7 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (1.16.0) Requirement already satisfied: munch in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (2.5.0) Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas) (2.8.2) Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas) (1.20.3) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas) (2021.1) Requirement already satisfied: folium in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.12.1) Requirement already satisfied: jinja2>=2.9 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (3.0.1) Requirement already satisfied: numpy in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (1.20.3) Requirement already satisfied: requests in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (2.26.0) Requirement already satisfied: branca>=0.3.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (0.4.2) Requirement already satisfied: MarkupSafe>=2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jinja2>=2.9->folium) (2.0.1) Requirement already satisfied: idna<4,>=2.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (3.2) Requirement already satisfied: certifi>=2017.4.17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (2021.5.30) Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (1.26.6) Requirement already satisfied: charset-normalizer~=2.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (2.0.4) Requirement already satisfied: seaborn in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.11.2) Requirement already satisfied: matplotlib>=2.2 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from seaborn) (3.4.2) Requirement already satisfied: scipy>=1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from seaborn) (1.6.2) Requirement already satisfied: pandas>=0.23 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from seaborn) (1.3.1) Requirement already satisfied: numpy>=1.15 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from seaborn) (1.20.3) Requirement already satisfied: cycler>=0.10 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib>=2.2->seaborn) (0.10.0) Requirement already satisfied: pillow>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib>=2.2->seaborn) (8.3.1) Requirement already satisfied: pyparsing>=2.2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib>=2.2->seaborn) (2.4.7) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib>=2.2->seaborn) (1.3.1) Requirement already satisfied: python-dateutil>=2.7 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib>=2.2->seaborn) (2.8.2) Requirement already satisfied: six in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.16.0) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.23->seaborn) (2021.1)
Requirement already satisfied: pandas in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (1.3.1) Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas) (1.20.3) Requirement already satisfied: six>=1.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)
Requirement already satisfied: plotly in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (5.2.1) Requirement already satisfied: six in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly) (1.16.0) Requirement already satisfied: tenacity>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly) (8.0.1)
Requirement already satisfied: GDAL in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (3.0.2) Requirement already satisfied: Rtree in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.9.7) Collecting git+git://github.com/geopandas/geopandas.git
Running command git clone -q git://github.com/geopandas/geopandas.git 'C:\Users\USER\AppData\Local\Temp\pip-req-build-oxkb0i10'
Cloning git://github.com/geopandas/geopandas.git to c:\users\user\appdata\local\temp\pip-req-build-oxkb0i10 Resolved git://github.com/geopandas/geopandas.git to commit 4536b9203b0b2ff577d1368e4677ff93a4c82164 Requirement already satisfied: pandas>=0.25.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas==0.9.0+59.g4536b92) (1.3.1) Requirement already satisfied: shapely>=1.6 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas==0.9.0+59.g4536b92) (1.7.1) Requirement already satisfied: fiona>=1.8 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas==0.9.0+59.g4536b92) (1.8.13.post1) Requirement already satisfied: pyproj>=2.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas==0.9.0+59.g4536b92) (2.6.1.post1) Requirement already satisfied: attrs>=17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (21.2.0) Requirement already satisfied: click<8,>=4.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (7.1.2) Requirement already satisfied: cligj>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (0.7.2) Requirement already satisfied: click-plugins>=1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (1.1.1) Requirement already satisfied: six>=1.7 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (1.16.0) Requirement already satisfied: munch in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas==0.9.0+59.g4536b92) (2.5.0) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas==0.9.0+59.g4536b92) (2021.1) Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas==0.9.0+59.g4536b92) (1.20.3) Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.25.0->geopandas==0.9.0+59.g4536b92) (2.8.2) Requirement already satisfied: descartes in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (1.1.0) Requirement already satisfied: matplotlib in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from descartes) (3.4.2) Requirement already satisfied: numpy>=1.16 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (1.20.3) Requirement already satisfied: pyparsing>=2.2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (2.4.7) Requirement already satisfied: cycler>=0.10 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (0.10.0) Requirement already satisfied: pillow>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (8.3.1) Requirement already satisfied: python-dateutil>=2.7 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (2.8.2) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->descartes) (1.3.1) Requirement already satisfied: six in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from cycler>=0.10->matplotlib->descartes) (1.16.0) Requirement already satisfied: folium in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.12.1) Requirement already satisfied: numpy in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (1.20.3) Requirement already satisfied: jinja2>=2.9 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (3.0.1) Requirement already satisfied: requests in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (2.26.0) Requirement already satisfied: branca>=0.3.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium) (0.4.2) Requirement already satisfied: MarkupSafe>=2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jinja2>=2.9->folium) (2.0.1) Requirement already satisfied: charset-normalizer~=2.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (2.0.4) Requirement already satisfied: certifi>=2017.4.17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (2021.5.30) Requirement already satisfied: idna<4,>=2.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (3.2) Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium) (1.26.6) Requirement already satisfied: plotly_express in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.4.1) Requirement already satisfied: statsmodels>=0.9.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (0.12.2) Requirement already satisfied: numpy>=1.11 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.20.3) Requirement already satisfied: scipy>=0.18 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.6.2) Requirement already satisfied: patsy>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (0.5.1) Requirement already satisfied: plotly>=4.1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (5.2.1) Requirement already satisfied: pandas>=0.20.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.3.1) Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.20.0->plotly_express) (2.8.2) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.20.0->plotly_express) (2021.1) Requirement already satisfied: six in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from patsy>=0.5->plotly_express) (1.16.0) Requirement already satisfied: tenacity>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly>=4.1.0->plotly_express) (8.0.1) Wall time: 1min 4s
Requirement already satisfied: plotly_express in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.4.1) Requirement already satisfied: statsmodels>=0.9.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (0.12.2) Requirement already satisfied: pandas>=0.20.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.3.1) Requirement already satisfied: numpy>=1.11 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.20.3) Requirement already satisfied: plotly>=4.1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (5.2.1) Requirement already satisfied: scipy>=0.18 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (1.6.2) Requirement already satisfied: patsy>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly_express) (0.5.1) Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.20.0->plotly_express) (2021.1) Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas>=0.20.0->plotly_express) (2.8.2) Requirement already satisfied: six in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from patsy>=0.5->plotly_express) (1.16.0) Requirement already satisfied: tenacity>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from plotly>=4.1.0->plotly_express) (8.0.1)
Note: you may need to restart the kernel to use updated packages.
El nombre de archivo, el nombre de directorio o la sintaxis de la etiqueta del volumen no son correctos.
| BARRIO | POBLACION | |
|---|---|---|
| 0 | AGRONOMIA | 13912 |
| 1 | ALMAGRO | 131699 |
| 2 | BALVANERA | 138926 |
| 3 | BARRACAS | 89452 |
| 4 | BELGRANO | 126267 |
| 5 | BOCA | 45113 |
| 6 | BOEDO | 47306 |
| 7 | CABALLITO | 176076 |
| 8 | CHACARITA | 27761 |
| 9 | COGHLAN | 18604 |
| 10 | COLEGIALES | 52551 |
| 11 | CONSTITUCION | 44107 |
| 12 | FLORES | 164310 |
| 13 | FLORESTA | 37575 |
| 14 | LINIERS | 44132 |
| 15 | MATADEROS | 64436 |
| 16 | MONSERRAT | 39914 |
| 17 | MONTE CASTRO | 33623 |
| 18 | NUEVA POMPEYA | 42695 |
| 19 | NUÑEZ | 51949 |
| 20 | PALERMO | 226534 |
| 21 | PARQUE AVELLANEDA | 53229 |
| 22 | PARQUE CHACABUCO | 56281 |
| 23 | PARQUE CHAS | 17489 |
| 24 | PARQUE PATRICIOS | 40985 |
| 25 | PATERNAL | 19717 |
| 26 | PUERTO MADERO | 6726 |
| 27 | RECOLETA | 157932 |
| 28 | RETIRO | 65413 |
| 29 | SAAVEDRA | 50295 |
| 30 | SAN CRISTOBAL | 48611 |
| 31 | SAN NICOLAS | 29273 |
| 32 | SAN TELMO | 20453 |
| 33 | VELEZ SARSFIELD | 35081 |
| 34 | VERSALLES | 13822 |
| 35 | VILLA CRESPO | 81959 |
| 36 | VILLA DEL PARQUE | 55273 |
| 37 | VILLA DEVOTO | 66521 |
| 38 | VILLA GRAL. MITRE | 34713 |
| 39 | VILLA LUGANO | 126374 |
| 40 | VILLA LURO | 32502 |
| 41 | VILLA ORTUZAR | 21736 |
| 42 | VILLA PUEYRREDON | 39654 |
| 43 | VILLA REAL | 13419 |
| 44 | VILLA RIACHUELO | 14084 |
| 45 | VILLA SANTA RITA | 33325 |
| 46 | VILLA SOLDATI | 46779 |
| 47 | VILLA URQUIZA | 91563 |
Superficie y perimetros por barrio y comuna
<class 'pandas.core.frame.DataFrame'> RangeIndex: 48 entries, 0 to 47 Data columns (total 5 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 WKT 48 non-null object 1 barrio 48 non-null object 2 comuna 48 non-null int64 3 perimetro 48 non-null float64 4 area 48 non-null float64 dtypes: float64(2), int64(1), object(2) memory usage: 2.0+ KB
Unimos poblacion 2010 con la superficie y perimetro de cada barrio
| barrio | poblacion | wkt | comuna | perimetro | area | |
|---|---|---|---|---|---|---|
| 0 | AGRONOMIA | 13912 | POLYGON ((-58.4771156675186 -34.5951149914833,... | 15 | 6556.17 | 2122169.34 |
| 1 | ALMAGRO | 131699 | POLYGON ((-58.4128700313089 -34.6141162515854,... | 5 | 8537.90 | 4050752.25 |
| 2 | BALVANERA | 138926 | POLYGON ((-58.4119188098038 -34.5980030767748,... | 3 | 8375.82 | 4342280.27 |
| 3 | BARRACAS | 89452 | POLYGON ((-58.3703353711449 -34.6329258371189,... | 4 | 12789.79 | 7953453.43 |
| 4 | BELGRANO | 126267 | POLYGON ((-58.4505669109009 -34.5356104340406,... | 13 | 20609.78 | 7999239.81 |
| WKT | nombre | nombre_ev | clasificac | patio_de_j | apadrinada | observacio | fuente_geo | fuente_ins | ubicacion | ... | id_ev_pub | area | perimeter | DGEV_Padri | Mant_2017 | TAREAS | ESTADO | SUP_TOTAL | Canil | Posta_aero | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | MULTIPOLYGON (((-58.4453556017045 -34.57924873... | Escuela Scalabrini Ortiz | ESCUELA Nº 13 D.E. 09 SCALABRINI ORTIZ | PLAZOLETA | NO | NaN | Redigitalización en Agosto de 2017. Unión de s... | USIG | USIG | CONDE - MATIENZO, BENJAMIN, TTE. - FREIRE, RAM... | ... | 2 | 1658.266 | 0.0 | NaN | NaN | NaN | NaN | 0 | NaN | NaN |
| 1 | MULTIPOLYGON (((-58.4448074253007 -34.57987067... | Polideportivo Colegiales | POLIDEPORTIVO COLEGIALES | PARQUE | NO | NaN | Redigitalización por USIG en Agosto de 2017. U... | USIG | USIG | CONDE - MATIENZO, BENJAMIN, TTE. - FREIRE, RAM... | ... | 6 | 4686.060 | 0.0 | NaN | NaN | NaN | NaN | 0 | NaN | NaN |
2 rows × 32 columns
Index(['wkt', 'nombre', 'nombre_ev', 'clasificac', 'patio_de_j', 'apadrinada',
'observacio', 'fuente_geo', 'fuente_ins', 'ubicacion', 'decreto',
'fecha_decr', 'ordenanza_', 'fecha_orde', 'boletin_of', 'fecha_bole',
'barrio', 'comuna', 'fech_padri', 'vig_padri', 'alc_conven', 'nom_mapa',
'id_ev_pub', 'area', 'perimeter', 'dgev_padri', 'mant_2017', 'tareas',
'estado', 'sup_total', 'canil', 'posta_aero'],
dtype='object')
array(['COLEGIALES', 'BELGRANO', 'PALERMO', 'SAAVEDRA',
'PARQUE AVELLANEDA', 'VILLA ORTUZAR', 'VILLA DEL PARQUE', 'FLORES',
'VILLA SOLDATI', 'CABALLITO', 'VILLA LUGANO', 'MATADEROS',
'LINIERS', 'VILLA RIACHUELO', 'VILLA URQUIZA', 'NUEVA POMPEYA',
'PATERNAL', 'VILLA REAL', 'PARQUE PATRICIOS', 'PARQUE CHACABUCO',
'SAN CRISTOBAL', 'VILLA GRAL. MITRE', 'ALMAGRO', 'SAN TELMO',
'RETIRO', 'RECOLETA', 'VERSALLES', 'SAN NICOLAS', 'PUERTO MADERO',
'MONSERRAT', 'VILLA DEVOTO', 'FLORESTA', 'BALVANERA', 'CHACARITA',
'VELEZ SARSFIELD', 'VILLA LURO', 'CONSTITUCION',
'VILLA SANTA RITA', 'BARRACAS', 'NUÑEZ', 'PARQUE CHAS',
'VILLA CRESPO', 'VILLA PUEYRREDON', 'BOCA', 'BOEDO',
'MONTE CASTRO', 'COGHLAN', 'AGRONOMIA', 'BALBANERA', nan,
'VÉLEZ SÁRSFIELD'], dtype=object)
1418 NOGOYA - IRIGOYEN 1491 BERGANTIN NANCY ENTRE GOLETA MALDONADO y SUMAC... 1492 BERGANTIN NANCY ENTRE GOLETA MALDONADO y SUMAC... 1494 CAFAYATE AV - BERGANTIN GENERAL BELGRANO - CAÑ... 1495 LISANDRO DE LA TORRE AV - FRAGATA 25 DE MAYO -... 1648 MADERO EDUARDO AV - PERON JUAN DOMINGO TTE - R... Name: ubicacion, dtype: object
Series([], Name: ubicacion, dtype: object)
Cambiamos los barrios mal escritos
Borramos la general paz, no corresponde
| barrio | area | ubicacion | nombre | |
|---|---|---|---|---|
| 1056 | PUERTO MADERO | 2352162.397 | NOEL, CARLOS M., INT., AV. - RIO DE LA PLATA -... | Reserva Ecológica |
| 473 | VILLA REAL | 1076581.106 | NaN | Gral. Paz |
| 729 | VILLA SOLDATI | 906759.750 | LACARRA, AV. - ESCALADA, AV. - CASTAÑARES, AV.... | Parque Indoamericano |
| 1344 | VILLA SOLDATI | 794299.938 | NaN | Pque. Polidep. Pdte. Julio A. Roca |
| 894 | VILLA LUGANO | 753829.274 | LARRAZABAL, AV. - FERNANDEZ DE LA CRUZ, FRANCI... | Parque de las Victorias |
| barrio | clasificac | area | |
|---|---|---|---|
| 0 | AGRONOMIA | PLAZA | 1487.637 |
| 1 | AGRONOMIA | PLAZOLETA | 1345.905 |
| 2 | ALMAGRO | PATIO RECREATIVO | 208.247 |
| 3 | ALMAGRO | PLAZA | 7513.156 |
| 4 | ALMAGRO | PLAZOLETA | 1477.396 |
| ... | ... | ... | ... |
| 188 | VILLA SOLDATI | PLAZA | 25918.512 |
| 189 | VILLA SOLDATI | PLAZOLETA | 64925.454 |
| 190 | VILLA URQUIZA | CANTERO CENTRAL | 4940.958 |
| 191 | VILLA URQUIZA | PLAZA | 14447.291 |
| 192 | VILLA URQUIZA | PLAZOLETA | 23436.860 |
193 rows × 3 columns
| barrio | superficie_verde | |
|---|---|---|
| 0 | AGRONOMIA | 2833.542 |
| 1 | ALMAGRO | 9198.799 |
| 2 | BALVANERA | 30755.787 |
| 3 | BARRACAS | 225939.635 |
| 4 | BELGRANO | 1278224.942 |
| 5 | BOCA | 102472.372 |
| 6 | BOEDO | 12126.601 |
| 7 | CABALLITO | 215874.599 |
| 8 | CHACARITA | 93385.211 |
| 9 | COGHLAN | 17422.862 |
| 10 | COLEGIALES | 49849.685 |
| 11 | CONSTITUCION | 70559.433 |
| 12 | FLORES | 214981.012 |
| 13 | FLORESTA | 19737.558 |
| 14 | LINIERS | 60001.547 |
| 15 | MATADEROS | 116340.600 |
| 16 | MONSERRAT | 71474.021 |
| 17 | MONTE CASTRO | 26018.578 |
| 18 | NUEVA POMPEYA | 97422.189 |
| 19 | NUÑEZ | 411186.015 |
| 20 | PALERMO | 2217272.262 |
| 21 | PARQUE AVELLANEDA | 537202.616 |
| 22 | PARQUE CHACABUCO | 129775.942 |
| 23 | PARQUE CHAS | 5123.405 |
| 24 | PARQUE PATRICIOS | 249352.862 |
| 25 | PATERNAL | 81800.308 |
| 26 | PUERTO MADERO | 2825066.839 |
| 27 | RECOLETA | 336024.821 |
| 28 | RETIRO | 142701.684 |
| 29 | SAAVEDRA | 840890.532 |
| 30 | SAN CRISTOBAL | 15241.868 |
| 31 | SAN NICOLAS | 70457.296 |
| 32 | SAN TELMO | 66733.840 |
| 33 | VELEZ SARSFIELD | 28238.800 |
| 34 | VERSALLES | 33870.618 |
| 35 | VILLA CRESPO | 12319.446 |
| 36 | VILLA DEL PARQUE | 16665.378 |
| 37 | VILLA DEVOTO | 79363.310 |
| 38 | VILLA GRAL. MITRE | 14182.663 |
| 39 | VILLA LUGANO | 1204124.548 |
| 40 | VILLA LURO | 32149.229 |
| 41 | VILLA ORTUZAR | 13436.444 |
| 42 | VILLA PUEYRREDON | 120704.787 |
| 43 | VILLA REAL | 31568.328 |
| 44 | VILLA RIACHUELO | 79177.858 |
| 45 | VILLA SANTA RITA | 355.205 |
| 46 | VILLA SOLDATI | 2860114.663 |
| 47 | VILLA URQUIZA | 42825.109 |
| barrio | poblacion | wkt | comuna | perimetro | area | superficie_verde | sup_verde/hab | sup_verde/sup | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | AGRONOMIA | 13912 | POLYGON ((-58.4771156675186 -34.5951149914833,... | 15 | 6556.17 | 2122169.34 | 2833.542 | 0.20 | 0.00 |
| 1 | ALMAGRO | 131699 | POLYGON ((-58.4128700313089 -34.6141162515854,... | 5 | 8537.90 | 4050752.25 | 9198.799 | 0.07 | 0.00 |
| 2 | BALVANERA | 138926 | POLYGON ((-58.4119188098038 -34.5980030767748,... | 3 | 8375.82 | 4342280.27 | 30755.787 | 0.22 | 0.01 |
| 3 | BARRACAS | 89452 | POLYGON ((-58.3703353711449 -34.6329258371189,... | 4 | 12789.79 | 7953453.43 | 225939.635 | 2.53 | 0.03 |
| 4 | BELGRANO | 126267 | POLYGON ((-58.4505669109009 -34.5356104340406,... | 13 | 20609.78 | 7999239.81 | 1278224.942 | 10.12 | 0.16 |
| 5 | BOCA | 45113 | POLYGON ((-58.3542882851118 -34.6297737886867,... | 4 | 20060.00 | 5036240.45 | 102472.372 | 2.27 | 0.02 |
| 6 | BOEDO | 47306 | POLYGON ((-58.411779314803 -34.6303558693605,-... | 5 | 6602.51 | 2609850.88 | 12126.601 | 0.26 | 0.00 |
| 7 | CABALLITO | 176076 | POLYGON ((-58.4306058283309 -34.6070470885963,... | 6 | 10990.96 | 6851028.91 | 215874.599 | 1.23 | 0.03 |
| 8 | CHACARITA | 27761 | POLYGON ((-58.4528200492791 -34.5959886570639,... | 15 | 7724.85 | 3115707.11 | 93385.211 | 3.36 | 0.03 |
| 9 | COGHLAN | 18604 | POLYGON ((-58.4724205132861 -34.5660977127668,... | 12 | 4627.56 | 1279951.37 | 17422.862 | 0.94 | 0.01 |
| 10 | COLEGIALES | 52551 | POLYGON ((-58.4466910921417 -34.569065630363,-... | 13 | 6374.62 | 2289774.10 | 49849.685 | 0.95 | 0.02 |
| 11 | CONSTITUCION | 44107 | POLYGON ((-58.3755729030828 -34.6273016183744,... | 1 | 6326.84 | 2101995.00 | 70559.433 | 1.60 | 0.03 |
| 12 | FLORES | 164310 | POLYGON ((-58.4604133778842 -34.6567978457031,... | 7 | 15772.44 | 8590784.13 | 214981.012 | 1.31 | 0.03 |
| 13 | FLORESTA | 37575 | POLYGON ((-58.4833907036583 -34.6241108718058,... | 10 | 7519.65 | 2320640.74 | 19737.558 | 0.53 | 0.01 |
| 14 | LINIERS | 44132 | POLYGON ((-58.5192540532325 -34.6330100952683,... | 9 | 9256.93 | 4374418.74 | 60001.547 | 1.36 | 0.01 |
| 15 | MATADEROS | 64436 | POLYGON ((-58.5025197162337 -34.6745050265102,... | 9 | 11124.64 | 7398178.84 | 116340.600 | 1.81 | 0.02 |
| 16 | MONSERRAT | 39914 | POLYGON ((-58.3687995836552 -34.6068264253903,... | 1 | 6739.22 | 2198621.94 | 71474.021 | 1.79 | 0.03 |
| 17 | MONTE CASTRO | 33623 | POLYGON ((-58.5034920611534 -34.6240324216321,... | 10 | 7361.04 | 2627481.33 | 26018.578 | 0.77 | 0.01 |
| 18 | NUEVA POMPEYA | 42695 | POLYGON ((-58.4122089488942 -34.6481348798167,... | 4 | 11033.51 | 4951510.87 | 97422.189 | 2.28 | 0.02 |
| 19 | NUÑEZ | 51949 | POLYGON ((-58.4587157782967 -34.5372101050856,... | 13 | 10785.26 | 4424199.27 | 411186.015 | 7.92 | 0.09 |
| 20 | PALERMO | 226534 | POLYGON ((-58.4267593172764 -34.5520233734028,... | 14 | 22126.53 | 15845871.29 | 2217272.262 | 9.79 | 0.14 |
| 21 | PARQUE AVELLANEDA | 53229 | POLYGON ((-58.4703750499015 -34.6387869543278,... | 9 | 10165.61 | 4732708.21 | 537202.616 | 10.09 | 0.11 |
| 22 | PARQUE CHACABUCO | 56281 | POLYGON ((-58.4323444043321 -34.641741258315,-... | 7 | 8406.91 | 3832116.70 | 129775.942 | 2.31 | 0.03 |
| 23 | PARQUE CHAS | 17489 | POLYGON ((-58.4708152687488 -34.58744531424,-5... | 15 | 4531.25 | 1385411.51 | 5123.405 | 0.29 | 0.00 |
| 24 | PARQUE PATRICIOS | 40985 | POLYGON ((-58.4103697298525 -34.648302987509,-... | 4 | 7878.43 | 3743440.00 | 249352.862 | 6.08 | 0.07 |
| 25 | PATERNAL | 19717 | POLYGON ((-58.4655768128541 -34.5965577078058,... | 15 | 7087.51 | 2229829.03 | 81800.308 | 4.15 | 0.04 |
| 26 | PUERTO MADERO | 6726 | POLYGON ((-58.3519574994471 -34.5981671240109,... | 1 | 17725.72 | 5040970.89 | 2825066.839 | 420.02 | 0.56 |
| 27 | RECOLETA | 157932 | POLYGON ((-58.3800038855693 -34.5700235247202,... | 2 | 21452.84 | 6317264.56 | 336024.821 | 2.13 | 0.05 |
| 28 | RETIRO | 65413 | POLYGON ((-58.3742728981345 -34.5787043103248,... | 1 | 18837.99 | 4512710.91 | 142701.684 | 2.18 | 0.03 |
| 29 | SAAVEDRA | 50295 | POLYGON ((-58.4881310699952 -34.5612869279226,... | 12 | 11132.14 | 5538676.83 | 840890.532 | 16.72 | 0.15 |
| 30 | SAN CRISTOBAL | 48611 | POLYGON ((-58.3915536991875 -34.6215599589853,... | 3 | 5987.23 | 2043711.12 | 15241.868 | 0.31 | 0.01 |
| 31 | SAN NICOLAS | 29273 | POLYGON ((-58.3679211193597 -34.6051742887552,... | 1 | 6548.08 | 2289007.58 | 70457.296 | 2.41 | 0.03 |
| 32 | SAN TELMO | 20453 | POLYGON ((-58.3634549856369 -34.625121372907,-... | 1 | 5178.03 | 1232270.16 | 66733.840 | 3.26 | 0.05 |
| 33 | VELEZ SARSFIELD | 35081 | POLYGON ((-58.4855735176658 -34.6314024168004,... | 10 | 7045.58 | 2400518.33 | 28238.800 | 0.80 | 0.01 |
| 34 | VERSALLES | 13822 | POLYGON ((-58.5110429614335 -34.6325601604467,... | 10 | 5650.47 | 1406833.60 | 33870.618 | 2.45 | 0.02 |
| 35 | VILLA CRESPO | 81959 | POLYGON ((-58.4237529813037 -34.5978273383243,... | 15 | 8131.86 | 3615977.56 | 12319.446 | 0.15 | 0.00 |
| 36 | VILLA DEL PARQUE | 55273 | POLYGON ((-58.4946097568899 -34.6148652395239,... | 11 | 7705.39 | 3399595.64 | 16665.378 | 0.30 | 0.00 |
| 37 | VILLA DEVOTO | 66521 | POLYGON ((-58.5083084424563 -34.6139197264499,... | 11 | 11562.01 | 6404480.85 | 79363.310 | 1.19 | 0.01 |
| 38 | VILLA GRAL. MITRE | 34713 | POLYGON ((-58.4713995731534 -34.6190380529955,... | 11 | 6290.44 | 2162275.12 | 14182.663 | 0.41 | 0.01 |
| 39 | VILLA LUGANO | 126374 | POLYGON ((-58.4657134919338 -34.659025022031,-... | 8 | 15057.47 | 9296142.36 | 1204124.548 | 9.53 | 0.13 |
| 40 | VILLA LURO | 32502 | POLYGON ((-58.5015376247954 -34.6318345193872,... | 10 | 8652.93 | 2566936.87 | 32149.229 | 0.99 | 0.01 |
| 41 | VILLA ORTUZAR | 21736 | POLYGON ((-58.4605469510917 -34.5779429557773,... | 15 | 5685.00 | 1853802.05 | 13436.444 | 0.62 | 0.01 |
| 42 | VILLA PUEYRREDON | 39654 | POLYGON ((-58.5033113250844 -34.5938561595895,... | 12 | 7522.36 | 3303239.51 | 120704.787 | 3.04 | 0.04 |
| 43 | VILLA REAL | 13419 | POLYGON ((-58.525116079791 -34.613999981063,-5... | 10 | 5070.97 | 1334146.08 | 31568.328 | 2.35 | 0.02 |
| 44 | VILLA RIACHUELO | 14084 | POLYGON ((-58.4497832682116 -34.6806103119189,... | 8 | 10596.83 | 4232595.92 | 79177.858 | 5.62 | 0.02 |
| 45 | VILLA SANTA RITA | 33325 | POLYGON ((-58.4819203599833 -34.6242871724757,... | 11 | 5757.75 | 2153690.81 | 355.205 | 0.01 | 0.00 |
| 46 | VILLA SOLDATI | 46779 | POLYGON ((-58.4491320831847 -34.6511657755509,... | 8 | 12441.70 | 8688163.56 | 2860114.663 | 61.14 | 0.33 |
| 47 | VILLA URQUIZA | 91563 | POLYGON ((-58.4809767085347 -34.5626425900864,... | 12 | 10021.46 | 5449058.92 | 42825.109 | 0.47 | 0.01 |
| barrio | superficie_verde | % | |
|---|---|---|---|
| 0 | AGRONOMIA | 2833.542 | 0.018626 |
| 1 | ALMAGRO | 9198.799 | 0.060469 |
| 2 | BALVANERA | 30755.787 | 0.202174 |
| 3 | BARRACAS | 225939.635 | 1.485219 |
| 4 | BELGRANO | 1278224.942 | 8.402439 |
| 5 | BOCA | 102472.372 | 0.673604 |
| 6 | BOEDO | 12126.601 | 0.079714 |
| 7 | CABALLITO | 215874.599 | 1.419056 |
| 8 | CHACARITA | 93385.211 | 0.613870 |
| 9 | COGHLAN | 17422.862 | 0.114530 |
| 10 | COLEGIALES | 49849.685 | 0.327688 |
| 11 | CONSTITUCION | 70559.433 | 0.463824 |
| 12 | FLORES | 214981.012 | 1.413182 |
| 13 | FLORESTA | 19737.558 | 0.129745 |
| 14 | LINIERS | 60001.547 | 0.394421 |
| 15 | MATADEROS | 116340.600 | 0.764767 |
| 16 | MONSERRAT | 71474.021 | 0.469836 |
| 17 | MONTE CASTRO | 26018.578 | 0.171034 |
| 18 | NUEVA POMPEYA | 97422.189 | 0.640407 |
| 19 | NUÑEZ | 411186.015 | 2.702940 |
| 20 | PALERMO | 2217272.262 | 14.575287 |
| 21 | PARQUE AVELLANEDA | 537202.616 | 3.531313 |
| 22 | PARQUE CHACABUCO | 129775.942 | 0.853085 |
| 23 | PARQUE CHAS | 5123.405 | 0.033679 |
| 24 | PARQUE PATRICIOS | 249352.862 | 1.639126 |
| 25 | PATERNAL | 81800.308 | 0.537716 |
| 26 | PUERTO MADERO | 2825066.839 | 18.570638 |
| 27 | RECOLETA | 336024.821 | 2.208866 |
| 28 | RETIRO | 142701.684 | 0.938053 |
| 29 | SAAVEDRA | 840890.532 | 5.527612 |
| 30 | SAN CRISTOBAL | 15241.868 | 0.100193 |
| 31 | SAN NICOLAS | 70457.296 | 0.463153 |
| 32 | SAN TELMO | 66733.840 | 0.438676 |
| 33 | VELEZ SARSFIELD | 28238.800 | 0.185628 |
| 34 | VERSALLES | 33870.618 | 0.222649 |
| 35 | VILLA CRESPO | 12319.446 | 0.080982 |
| 36 | VILLA DEL PARQUE | 16665.378 | 0.109550 |
| 37 | VILLA DEVOTO | 79363.310 | 0.521696 |
| 38 | VILLA GRAL. MITRE | 14182.663 | 0.093230 |
| 39 | VILLA LUGANO | 1204124.548 | 7.915339 |
| 40 | VILLA LURO | 32149.229 | 0.211334 |
| 41 | VILLA ORTUZAR | 13436.444 | 0.088325 |
| 42 | VILLA PUEYRREDON | 120704.787 | 0.793456 |
| 43 | VILLA REAL | 31568.328 | 0.207515 |
| 44 | VILLA RIACHUELO | 79177.858 | 0.520477 |
| 45 | VILLA SANTA RITA | 355.205 | 0.002335 |
| 46 | VILLA SOLDATI | 2860114.663 | 18.801026 |
| 47 | VILLA URQUIZA | 42825.109 | 0.281512 |
| WKT | id | codigo | nombre | ubicacion | tipo | horario | anclajes_t | |
|---|---|---|---|---|---|---|---|---|
| 0 | POINT (-58.3747109506359 -34.5924239181221) | 2 | 2 | 002 - Retiro I | Ramos Mejia, Jose Maria, Dr. Av. & Del Liberta... | AUTOMÁTICA | Estación automática: disponibilidad las 24 horas | 20 |
| 1 | POINT (-58.368256111128 -34.611033074021) | 3 | 3 | 003 - ADUANA | Moreno & Av Paseo Colon | AUTOMÁTICA | Estación automática: disponibilidad las 24 horas | 20 |
| 2 | POINT (-58.3687766674259 -34.6018228613782) | 4 | 4 | 004 - Plaza Roma | Lavalle & Bouchard | AUTOMÁTICA | Estación automática: disponibilidad las 24 horas | 20 |
| 3 | POINT (-58.420951914897 -34.5805498216605) | 5 | 5 | 005 - Plaza Italia | Av. Sarmiento 2601 | AUTOMÁTICA | Estación automática: disponibilidad las 24 horas | 42 |
| 4 | POINT (-58.3697538990917 -34.6285274659984) | 6 | 6 | 006 - Parque Lezama | Avenida Martin Garcia, 295 | AUTOMÁTICA | Estación automática: disponibilidad las 24 horas | 20 |
<class 'pandas.core.frame.DataFrame'> RangeIndex: 229 entries, 0 to 228 Data columns (total 8 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 WKT 229 non-null object 1 id 229 non-null int64 2 codigo 229 non-null int64 3 nombre 229 non-null object 4 ubicacion 229 non-null object 5 tipo 229 non-null object 6 horario 229 non-null object 7 anclajes_t 229 non-null int64 dtypes: int64(3), object(5) memory usage: 14.4+ KB
| WKT | nombre | anclajes_t | |
|---|---|---|---|
| 0 | POINT (-58.3747109506359 -34.5924239181221) | 002 - Retiro I | 20 |
| 1 | POINT (-58.368256111128 -34.611033074021) | 003 - ADUANA | 20 |
| 2 | POINT (-58.3687766674259 -34.6018228613782) | 004 - Plaza Roma | 20 |
| 3 | POINT (-58.420951914897 -34.5805498216605) | 005 - Plaza Italia | 42 |
| 4 | POINT (-58.3697538990917 -34.6285274659984) | 006 - Parque Lezama | 20 |
| WKT | nombre | anclajes_t | longitud | latitud | |
|---|---|---|---|---|---|
| 0 | POINT (-58.3747109506359 -34.5924239181221) | 002 - Retiro I | 20 | -58.374711 | -34.592424 |
| 1 | POINT (-58.368256111128 -34.611033074021) | 003 - ADUANA | 20 | -58.368256 | -34.611033 |
Index(['WKT', 'nombre', 'anclajes_t', 'longitud', 'latitud'], dtype='object')
C:\Users\USER\anaconda3\envs\Plotly_Dash_Deploymeny_Heroku\lib\site-packages\pandas\core\frame.py:5034: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy return super().rename(
| nombre | geometry | |
|---|---|---|
| 0 | CHACARITA | POLYGON ((-58.45282 -34.59599, -58.45366 -34.5... |
| 1 | PATERNAL | POLYGON ((-58.46558 -34.59656, -58.46562 -34.5... |
| nombre | geometry | |
|---|---|---|
| 0 | 002 - Retiro I | POINT (-58.37471 -34.59242) |
| 1 | 003 - ADUANA | POINT (-58.36826 -34.61103) |
C:\Users\USER\anaconda3\envs\Plotly_Dash_Deploymeny_Heroku\lib\site-packages\geopandas\geodataframe.py:1345: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy super().__setitem__(key, value)
| nombre | geometry | |
|---|---|---|
| 0 | 002 - Retiro I | POINT (-58.37471 -34.59242) |
| 1 | 003 - ADUANA | POINT (-58.36826 -34.61103) |
| 2 | 004 - Plaza Roma | POINT (-58.36878 -34.60182) |
| 3 | 005 - Plaza Italia | POINT (-58.42095 -34.58055) |
| 4 | 006 - Parque Lezama | POINT (-58.36975 -34.62853) |
| ... | ... | ... |
| 224 | 227 -Club Ciudad de Buenos Aires | POINT (-58.45950 -34.54450) |
| 225 | 016 - Legislatura | POINT (-58.37480 -34.60980) |
| 226 | 061-Ministerio de Economia | POINT (-58.37071 -34.60894) |
| 227 | 393 - Barrio 31 | POINT (-58.37886 -34.58242) |
| 228 | 352 - San Jose de Flores | POINT (-58.46325 -34.62908) |
229 rows × 2 columns
| nombre_left | geometry | index_right | nombre_right | |
|---|---|---|---|---|
| 0 | 002 - Retiro I | POINT (-58.37471 -34.59242) | 45.0 | RETIRO |
| 1 | 003 - ADUANA | POINT (-58.36826 -34.61103) | 41.0 | MONSERRAT |
| nombre_right | |
|---|---|
| PALERMO | 12.72 |
| RECOLETA | 8.33 |
| SAN NICOLAS | 7.02 |
| BALVANERA | 5.70 |
| BELGRANO | 5.26 |
| proporcion_bicicletas | |
|---|---|
| PALERMO | 12.72 |
| RECOLETA | 8.33 |
| SAN NICOLAS | 7.02 |
| BALVANERA | 5.70 |
| BELGRANO | 5.26 |
| CABALLITO | 4.82 |
| MONSERRAT | 4.39 |
| ALMAGRO | 3.95 |
| VILLA CRESPO | 3.95 |
| FLORES | 3.51 |
| RETIRO | 3.51 |
| BOCA | 3.07 |
| PARQUE PATRICIOS | 2.63 |
| BARRACAS | 2.19 |
| PUERTO MADERO | 2.19 |
| SAN TELMO | 2.19 |
| PARQUE CHACABUCO | 2.19 |
| VILLA URQUIZA | 1.75 |
| BOEDO | 1.75 |
| CONSTITUCION | 1.75 |
| CHACARITA | 1.75 |
| NUÑEZ | 1.32 |
| VILLA DEL PARQUE | 1.32 |
| NUEVA POMPEYA | 1.32 |
| COGHLAN | 1.32 |
| SAN CRISTOBAL | 1.32 |
| COLEGIALES | 1.32 |
| VILLA ORTUZAR | 0.88 |
| VILLA GRAL. MITRE | 0.88 |
| SAAVEDRA | 0.88 |
| PATERNAL | 0.88 |
| VILLA DEVOTO | 0.88 |
| PARQUE AVELLANEDA | 0.88 |
| VILLA LUGANO | 0.44 |
| AGRONOMIA | 0.44 |
| VILLA SANTA RITA | 0.44 |
| FLORESTA | 0.44 |
| PARQUE CHAS | 0.44 |
| WKT | direccion | barrio | comuna | materiales | mas_info | |
|---|---|---|---|---|---|---|
| 0 | POINT (-58.4436445327415 -34.5893377789048) | AGUIRRE 1447 | CHACARITA | 15 | Papel / Cartón | Los materiales deben estar limpios y secos |
| 1 | POINT (-58.5056729127257 -34.6223361926404) | BERMUDEZ 1697 | MONTE CASTRO | 10 | Papel / Cartón | Los materiales deben estar limpios y secos |
| 2 | POINT (-58.4129892741202 -34.6451594110446) | CACHI 163 | NUEVA POMPEYA | 4 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos |
| 3 | POINT (-58.5267564075838 -34.6083119977315) | CERVANTES 3896 | VILLA DEVOTO | 11 | Papel / Cartón | Los materiales deben estar limpios y secos |
| 4 | POINT (-58.4307505291444 -34.5991248058184) | CASTILLO 77 | VILLA CRESPO | 15 | Papel / Cartón | Los materiales deben estar limpios y secos |
| WKT | direccion | barrio | comuna | materiales | mas_info | longitud | latitud | |
|---|---|---|---|---|---|---|---|---|
| 0 | POINT (-58.4436445327415 -34.5893377789048) | AGUIRRE 1447 | CHACARITA | 15 | Papel / Cartón | Los materiales deben estar limpios y secos | -58.443645 | -34.589338 |
| 1 | POINT (-58.5056729127257 -34.6223361926404) | BERMUDEZ 1697 | MONTE CASTRO | 10 | Papel / Cartón | Los materiales deben estar limpios y secos | -58.505673 | -34.622336 |
| 2 | POINT (-58.4129892741202 -34.6451594110446) | CACHI 163 | NUEVA POMPEYA | 4 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.412989 | -34.645159 |
| 3 | POINT (-58.5267564075838 -34.6083119977315) | CERVANTES 3896 | VILLA DEVOTO | 11 | Papel / Cartón | Los materiales deben estar limpios y secos | -58.526756 | -34.608312 |
| 4 | POINT (-58.4307505291444 -34.5991248058184) | CASTILLO 77 | VILLA CRESPO | 15 | Papel / Cartón | Los materiales deben estar limpios y secos | -58.430751 | -34.599125 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2969 | POINT (-58.4729633773137 -34.5720891229715) | PLAZA 2074 | VILLA URQUIZA | 12 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.472963 | -34.572089 |
| 2970 | POINT (-58.4728869384186 -34.5730334040781) | ECHEVERRIA 4110 | VILLA URQUIZA | 12 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.472887 | -34.573033 |
| 2971 | POINT (-58.4725427039566 -34.5708291790821) | TRONADOR 2137 | VILLA URQUIZA | 12 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.472543 | -34.570829 |
| 2972 | POINT (-58.4820045761137 -34.5715381118424) | VALDENEGRO 2506 | VILLA URQUIZA | 12 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.482005 | -34.571538 |
| 2973 | POINT (-58.4490418406134 -34.5627481299131) | 3 DE FEBRERO 1729 | BELGRANO | 13 | Papel / Cartón / Plástico / Metal / Vidrio | Los materiales deben estar limpios y secos | -58.449042 | -34.562748 |
2974 rows × 8 columns
| WKT | barrio | latitud | longitud | |
|---|---|---|---|---|
| 0 | POINT (-58.4436445327415 -34.5893377789048) | CHACARITA | -34.589338 | -58.443645 |
| 1 | POINT (-58.5056729127257 -34.6223361926404) | MONTE CASTRO | -34.622336 | -58.505673 |
| 2 | POINT (-58.4129892741202 -34.6451594110446) | NUEVA POMPEYA | -34.645159 | -58.412989 |
| 3 | POINT (-58.5267564075838 -34.6083119977315) | VILLA DEVOTO | -34.608312 | -58.526756 |
| 4 | POINT (-58.4307505291444 -34.5991248058184) | VILLA CRESPO | -34.599125 | -58.430751 |
| ... | ... | ... | ... | ... |
| 2969 | POINT (-58.4729633773137 -34.5720891229715) | VILLA URQUIZA | -34.572089 | -58.472963 |
| 2970 | POINT (-58.4728869384186 -34.5730334040781) | VILLA URQUIZA | -34.573033 | -58.472887 |
| 2971 | POINT (-58.4725427039566 -34.5708291790821) | VILLA URQUIZA | -34.570829 | -58.472543 |
| 2972 | POINT (-58.4820045761137 -34.5715381118424) | VILLA URQUIZA | -34.571538 | -58.482005 |
| 2973 | POINT (-58.4490418406134 -34.5627481299131) | BELGRANO | -34.562748 | -58.449042 |
2974 rows × 4 columns
| Cantidad_por_barrio | |
|---|---|
| BELGRANO | 169 |
| VILLA URQUIZA | 137 |
| index | Cantidad_por_barrio | |
|---|---|---|
| 0 | BELGRANO | 169 |
| 1 | VILLA URQUIZA | 137 |
| 2 | MATADEROS | 133 |
| 3 | CABALLITO | 129 |
| 4 | PALERMO | 121 |
| 5 | VILLA DEVOTO | 121 |
| 6 | NUÑEZ | 107 |
| 7 | VILLA LUGANO | 99 |
| 8 | FLORES | 92 |
| 9 | ALMAGRO | 91 |
| 10 | SAAVEDRA | 90 |
| 11 | RECOLETA | 85 |
| 12 | VILLA PUEYRREDON | 83 |
| 13 | LINIERS | 79 |
| 14 | VILLA CRESPO | 75 |
| 15 | VILLA LURO | 74 |
| 16 | PARQUE CHACABUCO | 74 |
| 17 | MONTE CASTRO | 72 |
| 18 | BALVANERA | 71 |
| 19 | BOEDO | 71 |
| 20 | PARQUE AVELLANEDA | 66 |
| 21 | VILLA DEL PARQUE | 66 |
| 22 | NUEVA POMPEYA | 61 |
| 23 | COLEGIALES | 55 |
| 24 | VILLA ORTUZAR | 53 |
| 25 | VELEZ SARSFIELD | 52 |
| 26 | BARRACAS | 48 |
| 27 | PARQUE CHAS | 47 |
| 28 | CHACARITA | 47 |
| 29 | VILLA SOLDATI | 46 |
| 30 | SAN CRISTOBAL | 43 |
| 31 | CONSTITUCION | 41 |
| 32 | PARQUE PATRICIOS | 38 |
| 33 | VERSALLES | 34 |
| 34 | VILLA REAL | 30 |
| 35 | FLORESTA | 30 |
| 36 | VILLA SANTA RITA | 29 |
| 37 | SAN TELMO | 26 |
| 38 | AGRONOMIA | 25 |
| 39 | VILLA RIACHUELO | 24 |
| 40 | BOCA | 24 |
| 41 | PATERNAL | 24 |
| 42 | COGHLAN | 21 |
| 43 | VILLA GRAL. MITRE | 20 |
| 44 | MONSERRAT | 19 |
| 45 | RETIRO | 13 |
| 46 | SAN NICOLAS | 12 |
| 47 | PUERTO MADERO | 6 |
| 48 | VILLA GENERAL MITRE | 1 |
| Barrios | Cantidad_por_barrio | |
|---|---|---|
| 0 | BELGRANO | 169 |
| 1 | VILLA URQUIZA | 137 |
| 2 | MATADEROS | 133 |
| 3 | CABALLITO | 129 |
| 4 | PALERMO | 121 |
| 5 | VILLA DEVOTO | 121 |
| 6 | NUÑEZ | 107 |
| 7 | VILLA LUGANO | 99 |
| 8 | FLORES | 92 |
| 9 | ALMAGRO | 91 |
| 10 | SAAVEDRA | 90 |
| 11 | RECOLETA | 85 |
| 12 | VILLA PUEYRREDON | 83 |
| 13 | LINIERS | 79 |
| 14 | VILLA CRESPO | 75 |
| 15 | VILLA LURO | 74 |
| 16 | PARQUE CHACABUCO | 74 |
| 17 | MONTE CASTRO | 72 |
| 18 | BALVANERA | 71 |
| 19 | BOEDO | 71 |
| 20 | PARQUE AVELLANEDA | 66 |
| 21 | VILLA DEL PARQUE | 66 |
| 22 | NUEVA POMPEYA | 61 |
| 23 | COLEGIALES | 55 |
| 24 | VILLA ORTUZAR | 53 |
| 25 | VELEZ SARSFIELD | 52 |
| 26 | BARRACAS | 48 |
| 27 | PARQUE CHAS | 47 |
| 28 | CHACARITA | 47 |
| 29 | VILLA SOLDATI | 46 |
| 30 | SAN CRISTOBAL | 43 |
| 31 | CONSTITUCION | 41 |
| 32 | PARQUE PATRICIOS | 38 |
| 33 | VERSALLES | 34 |
| 34 | VILLA REAL | 30 |
| 35 | FLORESTA | 30 |
| 36 | VILLA SANTA RITA | 29 |
| 37 | SAN TELMO | 26 |
| 38 | AGRONOMIA | 25 |
| 39 | VILLA RIACHUELO | 24 |
| 40 | BOCA | 24 |
| 41 | PATERNAL | 24 |
| 42 | COGHLAN | 21 |
| 43 | VILLA GRAL. MITRE | 20 |
| 44 | MONSERRAT | 19 |
| 45 | RETIRO | 13 |
| 46 | SAN NICOLAS | 12 |
| 47 | PUERTO MADERO | 6 |
| 48 | VILLA GENERAL MITRE | 1 |
100.0
| Barrios | Cantidad_por_barrio | % | |
|---|---|---|---|
| 0 | BELGRANO | 169 | 5.682582 |
| 1 | VILLA URQUIZA | 137 | 4.606590 |
| 2 | MATADEROS | 133 | 4.472091 |
| 3 | CABALLITO | 129 | 4.337592 |
| 4 | PALERMO | 121 | 4.068594 |
| 5 | VILLA DEVOTO | 121 | 4.068594 |
| 6 | NUÑEZ | 107 | 3.597848 |
| 7 | VILLA LUGANO | 99 | 3.328850 |
| 8 | FLORES | 92 | 3.093477 |
| 9 | ALMAGRO | 91 | 3.059852 |
| 10 | SAAVEDRA | 90 | 3.026227 |
| 11 | RECOLETA | 85 | 2.858104 |
| 12 | VILLA PUEYRREDON | 83 | 2.790854 |
| 13 | LINIERS | 79 | 2.656355 |
| 14 | VILLA CRESPO | 75 | 2.521856 |
| 15 | VILLA LURO | 74 | 2.488231 |
| 16 | PARQUE CHACABUCO | 74 | 2.488231 |
| 17 | MONTE CASTRO | 72 | 2.420982 |
| 18 | BALVANERA | 71 | 2.387357 |
| 19 | BOEDO | 71 | 2.387357 |
| 20 | PARQUE AVELLANEDA | 66 | 2.219233 |
| 21 | VILLA DEL PARQUE | 66 | 2.219233 |
| 22 | NUEVA POMPEYA | 61 | 2.051110 |
| 23 | COLEGIALES | 55 | 1.849361 |
| 24 | VILLA ORTUZAR | 53 | 1.782112 |
| 25 | VELEZ SARSFIELD | 52 | 1.748487 |
| 26 | BARRACAS | 48 | 1.613988 |
| 27 | PARQUE CHAS | 47 | 1.580363 |
| 28 | CHACARITA | 47 | 1.580363 |
| 29 | VILLA SOLDATI | 46 | 1.546738 |
| 30 | SAN CRISTOBAL | 43 | 1.445864 |
| 31 | CONSTITUCION | 41 | 1.378615 |
| 32 | PARQUE PATRICIOS | 38 | 1.277740 |
| 33 | VERSALLES | 34 | 1.143241 |
| 34 | VILLA REAL | 30 | 1.008742 |
| 35 | FLORESTA | 30 | 1.008742 |
| 36 | VILLA SANTA RITA | 29 | 0.975118 |
| 37 | SAN TELMO | 26 | 0.874243 |
| 38 | AGRONOMIA | 25 | 0.840619 |
| 39 | VILLA RIACHUELO | 24 | 0.806994 |
| 40 | BOCA | 24 | 0.806994 |
| 41 | PATERNAL | 24 | 0.806994 |
| 42 | COGHLAN | 21 | 0.706120 |
| 43 | VILLA GRAL. MITRE | 20 | 0.672495 |
| 44 | MONSERRAT | 19 | 0.638870 |
| 45 | RETIRO | 13 | 0.437122 |
| 46 | SAN NICOLAS | 12 | 0.403497 |
| 47 | PUERTO MADERO | 6 | 0.201748 |
| 48 | VILLA GENERAL MITRE | 1 | 0.033625 |
En la Ciudad de Buenos Aires contamos los puntos verdes, lugares atendidos por personas con un horario determinado quienes reciben residuos recicables. A continuacion veremos cuantos hay por barrio y como se distribuyen.
| WKT | id | nombre | direccion | materiales | mas_info | dia_hora | tipo | cooperativ | calle | altura | calle2 | barrio | comuna | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | POINT (-58.464634598031 -34.5673114271266) | PV-073 | PLAZA CASTELLI | CONDE y JURAMENTO | RAEES / Aceite vegetal usado (en botellas cerr... | Para entregar los materiales, éstos deben esta... | Martes a Sábado de 11 a 17 hs. | Punto Verde Con Atención | Cooperativa de Trabajo Amanecer de los Cartoneros | CONDE | NaN | JURAMENTO | BELGRANO | COMUNA 13 |
| 1 | POINT (-58.4247575949544 -34.5890926138789) | PV-081 | PLAZA ARMENIA | MALABIA y NICARAGUA | RAEES / Aceite vegetal usado (en botellas cerr... | Para entregar los materiales, éstos deben esta... | Martes a Sábado de 11 a 17 hs. | Punto Verde Con Atención | Cooperativa de Provisión de Servicios para Rec... | MALABIA | NaN | NICARAGUA | PALERMO | COMUNA 14 |
| WKT | nombre | barrio | comuna | |
|---|---|---|---|---|
| 0 | POINT (-58.464634598031 -34.5673114271266) | PLAZA CASTELLI | BELGRANO | COMUNA 13 |
| 1 | POINT (-58.4247575949544 -34.5890926138789) | PLAZA ARMENIA | PALERMO | COMUNA 14 |
| 2 | POINT (-58.4683708218154 -34.5470464523292) | PLAZA BALCARCE | NUÑEZ | COMUNA 13 |
| 3 | POINT (-58.5039885340967 -34.5763941135912) | PLAZA LEANDRO N ALEM | VILLA PUEYRREDON | COMUNA 12 |
| 4 | POINT (-58.4834187153287 -34.6296117832603) | PLAZA VELEZ SARSFIELD | FLORESTA | COMUNA 10 |
| ... | ... | ... | ... | ... |
| 75 | POINT (-58.4768685819074 -34.5443034591689) | PLAZA MAKENNA | SAAVEDRA | COMUNA 12 |
| 76 | POINT (-58.4770761350183 -34.5500695192027) | PARQUE SAAVEDRA 2 | SAAVEDRA | COMUNA 12 |
| 77 | POINT (-58.4060195134656 -34.6136312184285) | PLAZA MANZANA 66 | BALVANERA | COMUNA 3 |
| 78 | POINT (-58.3963536828733 -34.629193592969) | POLO CIRCO | PARQUE PATRICIOS | COMUNA 4 |
| 79 | POINT (-58.4433288638415 -34.651102449447) | VILLA 1.11.14 | FLORES | COMUNA 7 |
80 rows × 4 columns
| WKT | nombre | barrio | comuna | longitud | latitud | |
|---|---|---|---|---|---|---|
| 0 | POINT (-58.464634598031 -34.5673114271266) | PLAZA CASTELLI | BELGRANO | COMUNA 13 | -58.464635 | -34.567311 |
| 1 | POINT (-58.4247575949544 -34.5890926138789) | PLAZA ARMENIA | PALERMO | COMUNA 14 | -58.424758 | -34.589093 |
FLORES 6 SAAVEDRA 5 BELGRANO 4 PALERMO 4 CABALLITO 4 BALVANERA 3 VILLA URQUIZA 3 MONTE CASTRO 3 LINIERS 3 VERSALLES 2 PARQUE AVELLANEDA 2 LUGANO 2 PARQUE PATRICIOS 2 COLEGIALES 2 RECOLETA 2 MATADEROS 2 NUÑEZ 2 BARRACAS 2 SAN CRISTOBAL 2 VILLA PUEYRREDON 2 VELEZ SARSFIELD 2 FLORESTA 2 VILLA DEVOTO 2 VILLA SOLDATI 1 RETIRO 1 VILLA REAL 1 PARQUE CHACABUCO 1 SAN TELMO 1 LA BOCA 1 POMPEYA 1 CONSTITUCION 1 VILLA OTUZAR 1 VILLA DEL PARQUE 1 BOEDO 1 VILLA CRESPO 1 PARQUE CHAS 1 VILLA GENERAL MITRE 1 VILLA RIACHUELO 1 CHACARITA 1 ALMAGRO 1 Name: barrio, dtype: int64
| index | Cantidad_por_barrio | |
|---|---|---|
| 0 | FLORES | 6 |
| 1 | SAAVEDRA | 5 |
| Barrios | Cantidad_por_barrio | |
|---|---|---|
| 0 | FLORES | 6 |
| 1 | SAAVEDRA | 5 |
| wkt | limite_inferior_rango_db | limite_superior_rango_db | comuna | leyenda | rango_db | color | periodo | |
|---|---|---|---|---|---|---|---|---|
| 0 | MULTIPOLYGON (((-58.3714231269834 -34.57855223... | 30.0 | 35.0 | 1 | 35 dBA o menos | 30-35 | 169 255 115 | Diurno |
| 1 | MULTIPOLYGON (((-58.3714231269834 -34.57855223... | 35.0 | 40.0 | 1 | 35-40 dBA | 35-40 | 76 230 0 | Diurno |
| 2 | MULTIPOLYGON (((-58.3714231117057 -34.57856621... | 40.0 | 45.0 | 1 | 40-45 dBA | 40-45 | 38 115 0 | Diurno |
| 3 | MULTIPOLYGON (((-58.3719240383553 -34.57857520... | 45.0 | 50.0 | 1 | 45-50 dBA | 45-50 | 255 255 0 | Diurno |
| 4 | MULTIPOLYGON (((-58.3726218651739 -34.57866586... | 50.0 | 55.0 | 1 | 50-55 dBA | 50-55 | 254 204 92 | Diurno |
| 5 | MULTIPOLYGON (((-58.3726217974613 -34.57872863... | 55.0 | 60.0 | 1 | 55-60 dBA | 55-60 | 230 152 0 | Diurno |
| 6 | MULTIPOLYGON (((-58.3729202224756 -34.57883848... | 60.0 | 65.0 | 1 | 60-65 dBA | 60-65 | 255 0 0 | Diurno |
| 7 | MULTIPOLYGON (((-58.3868781702349 -34.57832725... | 65.0 | 70.0 | 1 | 65-70 dBA | 65-70 | 115 0 0 | Diurno |
| 8 | MULTIPOLYGON (((-58.3760498451091 -34.57766206... | 70.0 | 75.0 | 1 | 70-75 dBA | 70-75 | 132 0 168 | Diurno |
| 9 | MULTIPOLYGON (((-58.3760498451091 -34.57766206... | 75.0 | 80.0 | 1 | 75-80 dBA | 75-80 | 0 38 255 | Diurno |
| 10 | MULTIPOLYGON (((-58.3805383917544 -34.58335896... | 80.0 | 85.0 | 1 | 80 dBA o más | 80-85 | 0 38 115 | Diurno |
| 11 | MULTIPOLYGON (((-58.3811701508817 -34.62185097... | 85.0 | 90.0 | 1 | 80 dBA o más | 85-90 | 0 38 115 | Diurno |
| 12 | MULTIPOLYGON (((-58.3798457999066 -34.62527555... | 90.0 | 95.0 | 1 | 80 dBA o más | 90-95 | 0 38 115 | Diurno |
| 13 | MULTIPOLYGON (((-58.3844606626569 -34.57113024... | 30.0 | 35.0 | 2 | 35 dBA o menos | 30-35 | 169 255 115 | Diurno |
| 14 | MULTIPOLYGON (((-58.3844606626569 -34.57113024... | 35.0 | 40.0 | 2 | 35-40 dBA | 35-40 | 76 230 0 | Diurno |
| 15 | MULTIPOLYGON (((-58.3858956374203 -34.57083235... | 40.0 | 45.0 | 2 | 40-45 dBA | 40-45 | 38 115 0 | Diurno |
| 16 | MULTIPOLYGON (((-58.3854338241165 -34.57120609... | 45.0 | 50.0 | 2 | 45-50 dBA | 45-50 | 255 255 0 | Diurno |
| 17 | MULTIPOLYGON (((-58.383678129822 -34.572738365... | 50.0 | 55.0 | 2 | 50-55 dBA | 50-55 | 254 204 92 | Diurno |
| 18 | MULTIPOLYGON (((-58.3836347162917 -34.57326482... | 55.0 | 60.0 | 2 | 55-60 dBA | 55-60 | 230 152 0 | Diurno |
| 19 | MULTIPOLYGON (((-58.383705234339 -34.573787842... | 60.0 | 65.0 | 2 | 60-65 dBA | 60-65 | 255 0 0 | Diurno |
<ipython-input-144-01de002ac2f4>:2: FutureWarning: Assigning CRS to a GeoDataFrame without a geometry column is now deprecated and will not be supported in the future. data_mapa_ruido=gpd.GeoDataFrame(data_mapa_ruido, crs='epsg:4326')
| wkt | limite_inferior_rango_db | limite_superior_rango_db | comuna | leyenda | rango_db | color | periodo | centro_poligono | centro_poligono_str | longitud | latitud | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | MULTIPOLYGON (((-58.37142 -34.57855, -58.37150... | 30.0 | 35.0 | 1 | 35 dBA o menos | 30-35 | 169 255 115 | Diurno | POINT (-58.36355 -34.58784) | POINT (-58.36354709939788 -34.58784171652151) | -58.363547 | -34.587842 |
| 1 | MULTIPOLYGON (((-58.37142 -34.57855, -58.37142... | 35.0 | 40.0 | 1 | 35-40 dBA | 35-40 | 76 230 0 | Diurno | POINT (-58.36392 -34.59623) | POINT (-58.36391990085204 -34.59623273173637) | -58.363920 | -34.596233 |
| 2 | MULTIPOLYGON (((-58.37142 -34.57857, -58.37142... | 40.0 | 45.0 | 1 | 40-45 dBA | 40-45 | 38 115 0 | Diurno | POINT (-58.36582 -34.59906) | POINT (-58.36581701626977 -34.59905865069965) | -58.365817 | -34.599059 |
| 3 | MULTIPOLYGON (((-58.37192 -34.57858, -58.37197... | 45.0 | 50.0 | 1 | 45-50 dBA | 45-50 | 255 255 0 | Diurno | POINT (-58.36520 -34.59597) | POINT (-58.36519673715749 -34.59596566270532) | -58.365197 | -34.595966 |
| 4 | MULTIPOLYGON (((-58.37262 -34.57867, -58.37262... | 50.0 | 55.0 | 1 | 50-55 dBA | 50-55 | 254 204 92 | Diurno | POINT (-58.36849 -34.59496) | POINT (-58.36848788493747 -34.59496361684349) | -58.368488 | -34.594964 |
| 5 | MULTIPOLYGON (((-58.37262 -34.57873, -58.37262... | 55.0 | 60.0 | 1 | 55-60 dBA | 55-60 | 230 152 0 | Diurno | POINT (-58.37416 -34.59455) | POINT (-58.37416454457673 -34.59455171902263) | -58.374165 | -34.594552 |
| 6 | MULTIPOLYGON (((-58.37292 -34.57884, -58.37297... | 60.0 | 65.0 | 1 | 60-65 dBA | 60-65 | 255 0 0 | Diurno | POINT (-58.37476 -34.59637) | POINT (-58.37476189653102 -34.59636996530497) | -58.374762 | -34.596370 |
| 7 | MULTIPOLYGON (((-58.38688 -34.57833, -58.38726... | 65.0 | 70.0 | 1 | 65-70 dBA | 65-70 | 115 0 0 | Diurno | POINT (-58.37468 -34.60194) | POINT (-58.37467559583867 -34.60193935072115) | -58.374676 | -34.601939 |
| 8 | MULTIPOLYGON (((-58.37605 -34.57766, -58.37611... | 70.0 | 75.0 | 1 | 70-75 dBA | 70-75 | 132 0 168 | Diurno | POINT (-58.37594 -34.60587) | POINT (-58.37593627396829 -34.60587400738491) | -58.375936 | -34.605874 |
| 9 | MULTIPOLYGON (((-58.37605 -34.57766, -58.37605... | 75.0 | 80.0 | 1 | 75-80 dBA | 75-80 | 0 38 255 | Diurno | POINT (-58.37838 -34.60897) | POINT (-58.37838485751693 -34.608968294299) | -58.378385 | -34.608968 |
| barrio | poblacion | wkt | comuna | perimetro | area | superficie_verde | sup_verde/hab | sup_verde/sup | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | AGRONOMIA | 13912 | POLYGON ((-58.4771156675186 -34.5951149914833,... | 15 | 6556.17 | 2122169.34 | 2833.542 | 0.20 | 0.0 |
| 1 | ALMAGRO | 131699 | POLYGON ((-58.4128700313089 -34.6141162515854,... | 5 | 8537.90 | 4050752.25 | 9198.799 | 0.07 | 0.0 |
<ipython-input-151-1157013e76f2>:4: FutureWarning: Assigning CRS to a GeoDataFrame without a geometry column is now deprecated and will not be supported in the future.
| barrio | poblacion | wkt | comuna | perimetro | area | superficie_verde | sup_verde/hab | sup_verde/sup | centro_poligono | centro_poligono_str | longitud | latitud | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | AGRONOMIA | 13912 | POLYGON ((-58.47712 -34.59511, -58.47788 -34.5... | 15 | 6556.17 | 2122169.34 | 2833.542 | 0.20 | 0.0 | POINT (-58.48867 -34.59294) | POINT (-58.48867265990651 -34.59294471940873) | -58.488673 | -34.592945 |
| 1 | ALMAGRO | 131699 | POLYGON ((-58.41287 -34.61412, -58.41282 -34.6... | 5 | 8537.90 | 4050752.25 | 9198.799 | 0.07 | 0.0 | POINT (-58.42174 -34.60923) | POINT (-58.4217445234198 -34.60922725926523) | -58.421745 | -34.609227 |
| barrio | poblacion | wkt | comuna | perimetro | area | superficie_verde | sup_verde/hab | sup_verde/sup | centro_poligono | centro_poligono_str | longitud | latitud | superficie_verde_bins | porcentaje_de_superficie_verde | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | AGRONOMIA | 13912 | POLYGON ((-58.47712 -34.59511, -58.47788 -34.5... | 15 | 6556.17 | 2122169.34 | 2833.542 | 0.20 | 0.0 | POINT (-58.48867 -34.59294) | POINT (-58.48867265990651 -34.59294471940873) | -58.488673 | -34.592945 | 1 | 0.018626 |
| 1 | ALMAGRO | 131699 | POLYGON ((-58.41287 -34.61412, -58.41282 -34.6... | 5 | 8537.90 | 4050752.25 | 9198.799 | 0.07 | 0.0 | POINT (-58.42174 -34.60923) | POINT (-58.4217445234198 -34.60922725926523) | -58.421745 | -34.609227 | 1 | 0.060469 |
<ipython-input-153-749649aa552d>:63: UserWarning:
color argument of Icon should be one of: {'lightgray', 'beige', 'cadetblue', 'gray', 'green', 'orange', 'darkblue', 'darkpurple', 'lightgreen', 'lightred', 'pink', 'lightblue', 'blue', 'black', 'red', 'white', 'darkred', 'purple', 'darkgreen'}.
| Barrios | Cantidad_por_barrio | % | |
|---|---|---|---|
| 0 | BELGRANO | 169 | 5.682582 |
| 1 | VILLA URQUIZA | 137 | 4.606590 |
| 2 | MATADEROS | 133 | 4.472091 |
| 3 | CABALLITO | 129 | 4.337592 |
| 4 | PALERMO | 121 | 4.068594 |
| 5 | VILLA DEVOTO | 121 | 4.068594 |
| 6 | NUÑEZ | 107 | 3.597848 |
| 7 | VILLA LUGANO | 99 | 3.328850 |
| 8 | FLORES | 92 | 3.093477 |
| 9 | ALMAGRO | 91 | 3.059852 |
| 10 | SAAVEDRA | 90 | 3.026227 |
| 11 | RECOLETA | 85 | 2.858104 |
| 12 | VILLA PUEYRREDON | 83 | 2.790854 |
| 13 | LINIERS | 79 | 2.656355 |
| 14 | VILLA CRESPO | 75 | 2.521856 |
| 15 | VILLA LURO | 74 | 2.488231 |
| 16 | PARQUE CHACABUCO | 74 | 2.488231 |
| 17 | MONTE CASTRO | 72 | 2.420982 |
| 18 | BALVANERA | 71 | 2.387357 |
| 19 | BOEDO | 71 | 2.387357 |
| 20 | PARQUE AVELLANEDA | 66 | 2.219233 |
| 21 | VILLA DEL PARQUE | 66 | 2.219233 |
| 22 | NUEVA POMPEYA | 61 | 2.051110 |
| 23 | COLEGIALES | 55 | 1.849361 |
| 24 | VILLA ORTUZAR | 53 | 1.782112 |
| 25 | VELEZ SARSFIELD | 52 | 1.748487 |
| 26 | BARRACAS | 48 | 1.613988 |
| 27 | PARQUE CHAS | 47 | 1.580363 |
| 28 | CHACARITA | 47 | 1.580363 |
| 29 | VILLA SOLDATI | 46 | 1.546738 |
| 30 | SAN CRISTOBAL | 43 | 1.445864 |
| 31 | CONSTITUCION | 41 | 1.378615 |
| 32 | PARQUE PATRICIOS | 38 | 1.277740 |
| 33 | VERSALLES | 34 | 1.143241 |
| 34 | VILLA REAL | 30 | 1.008742 |
| 35 | FLORESTA | 30 | 1.008742 |
| 36 | VILLA SANTA RITA | 29 | 0.975118 |
| 37 | SAN TELMO | 26 | 0.874243 |
| 38 | AGRONOMIA | 25 | 0.840619 |
| 39 | VILLA RIACHUELO | 24 | 0.806994 |
| 40 | BOCA | 24 | 0.806994 |
| 41 | PATERNAL | 24 | 0.806994 |
| 42 | COGHLAN | 21 | 0.706120 |
| 43 | VILLA GRAL. MITRE | 20 | 0.672495 |
| 44 | MONSERRAT | 19 | 0.638870 |
| 45 | RETIRO | 13 | 0.437122 |
| 46 | SAN NICOLAS | 12 | 0.403497 |
| 47 | PUERTO MADERO | 6 | 0.201748 |
| 48 | VILLA GENERAL MITRE | 1 | 0.033625 |
| barrio | superficie_verde | % | |
|---|---|---|---|
| 0 | AGRONOMIA | 2833.542 | 0.018626 |
| 1 | ALMAGRO | 9198.799 | 0.060469 |
| 2 | BALVANERA | 30755.787 | 0.202174 |
| 3 | BARRACAS | 225939.635 | 1.485219 |
| 4 | BELGRANO | 1278224.942 | 8.402439 |
| 5 | BOCA | 102472.372 | 0.673604 |
| 6 | BOEDO | 12126.601 | 0.079714 |
| 7 | CABALLITO | 215874.599 | 1.419056 |
| 8 | CHACARITA | 93385.211 | 0.613870 |
| 9 | COGHLAN | 17422.862 | 0.114530 |
| 10 | COLEGIALES | 49849.685 | 0.327688 |
| 11 | CONSTITUCION | 70559.433 | 0.463824 |
| 12 | FLORES | 214981.012 | 1.413182 |
| 13 | FLORESTA | 19737.558 | 0.129745 |
| 14 | LINIERS | 60001.547 | 0.394421 |
| 15 | MATADEROS | 116340.600 | 0.764767 |
| 16 | MONSERRAT | 71474.021 | 0.469836 |
| 17 | MONTE CASTRO | 26018.578 | 0.171034 |
| 18 | NUEVA POMPEYA | 97422.189 | 0.640407 |
| 19 | NUÑEZ | 411186.015 | 2.702940 |
| 20 | PALERMO | 2217272.262 | 14.575287 |
| 21 | PARQUE AVELLANEDA | 537202.616 | 3.531313 |
| 22 | PARQUE CHACABUCO | 129775.942 | 0.853085 |
| 23 | PARQUE CHAS | 5123.405 | 0.033679 |
| 24 | PARQUE PATRICIOS | 249352.862 | 1.639126 |
| 25 | PATERNAL | 81800.308 | 0.537716 |
| 26 | PUERTO MADERO | 2825066.839 | 18.570638 |
| 27 | RECOLETA | 336024.821 | 2.208866 |
| 28 | RETIRO | 142701.684 | 0.938053 |
| 29 | SAAVEDRA | 840890.532 | 5.527612 |
| 30 | SAN CRISTOBAL | 15241.868 | 0.100193 |
| 31 | SAN NICOLAS | 70457.296 | 0.463153 |
| 32 | SAN TELMO | 66733.840 | 0.438676 |
| 33 | VELEZ SARSFIELD | 28238.800 | 0.185628 |
| 34 | VERSALLES | 33870.618 | 0.222649 |
| 35 | VILLA CRESPO | 12319.446 | 0.080982 |
| 36 | VILLA DEL PARQUE | 16665.378 | 0.109550 |
| 37 | VILLA DEVOTO | 79363.310 | 0.521696 |
| 38 | VILLA GRAL. MITRE | 14182.663 | 0.093230 |
| 39 | VILLA LUGANO | 1204124.548 | 7.915339 |
| 40 | VILLA LURO | 32149.229 | 0.211334 |
| 41 | VILLA ORTUZAR | 13436.444 | 0.088325 |
| 42 | VILLA PUEYRREDON | 120704.787 | 0.793456 |
| 43 | VILLA REAL | 31568.328 | 0.207515 |
| 44 | VILLA RIACHUELO | 79177.858 | 0.520477 |
| 45 | VILLA SANTA RITA | 355.205 | 0.002335 |
| 46 | VILLA SOLDATI | 2860114.663 | 18.801026 |
| 47 | VILLA URQUIZA | 42825.109 | 0.281512 |
| index | proporcion_bicicletas | |
|---|---|---|
| 0 | PALERMO | 12.72 |
| 1 | RECOLETA | 8.33 |
| 2 | SAN NICOLAS | 7.02 |
| 3 | BALVANERA | 5.70 |
| 4 | BELGRANO | 5.26 |
| 5 | CABALLITO | 4.82 |
| 6 | MONSERRAT | 4.39 |
| 7 | ALMAGRO | 3.95 |
| 8 | VILLA CRESPO | 3.95 |
| 9 | FLORES | 3.51 |
| 10 | RETIRO | 3.51 |
| 11 | BOCA | 3.07 |
| 12 | PARQUE PATRICIOS | 2.63 |
| 13 | BARRACAS | 2.19 |
| 14 | PUERTO MADERO | 2.19 |
| 15 | SAN TELMO | 2.19 |
| 16 | PARQUE CHACABUCO | 2.19 |
| 17 | VILLA URQUIZA | 1.75 |
| 18 | BOEDO | 1.75 |
| 19 | CONSTITUCION | 1.75 |
| 20 | CHACARITA | 1.75 |
| 21 | NUÑEZ | 1.32 |
| 22 | VILLA DEL PARQUE | 1.32 |
| 23 | NUEVA POMPEYA | 1.32 |
| 24 | COGHLAN | 1.32 |
| 25 | SAN CRISTOBAL | 1.32 |
| 26 | COLEGIALES | 1.32 |
| 27 | VILLA ORTUZAR | 0.88 |
| 28 | VILLA GRAL. MITRE | 0.88 |
| 29 | SAAVEDRA | 0.88 |
| 30 | PATERNAL | 0.88 |
| 31 | VILLA DEVOTO | 0.88 |
| 32 | PARQUE AVELLANEDA | 0.88 |
| 33 | VILLA LUGANO | 0.44 |
| 34 | AGRONOMIA | 0.44 |
| 35 | VILLA SANTA RITA | 0.44 |
| 36 | FLORESTA | 0.44 |
| 37 | PARQUE CHAS | 0.44 |
| barrio | superficie_verde | % | proporcion_bicicletas | |
|---|---|---|---|---|
| 0 | AGRONOMIA | 2833.542 | 0.018626 | 0.44 |
| 1 | ALMAGRO | 9198.799 | 0.060469 | 3.95 |
| 2 | BALVANERA | 30755.787 | 0.202174 | 5.70 |
| 3 | BARRACAS | 225939.635 | 1.485219 | 2.19 |
| 4 | BELGRANO | 1278224.942 | 8.402439 | 5.26 |
| 5 | BOCA | 102472.372 | 0.673604 | 3.07 |
| 6 | BOEDO | 12126.601 | 0.079714 | 1.75 |
| 7 | CABALLITO | 215874.599 | 1.419056 | 4.82 |
| 8 | CHACARITA | 93385.211 | 0.613870 | 1.75 |
| 9 | COGHLAN | 17422.862 | 0.114530 | 1.32 |
| 10 | COLEGIALES | 49849.685 | 0.327688 | 1.32 |
| 11 | CONSTITUCION | 70559.433 | 0.463824 | 1.75 |
| 12 | FLORES | 214981.012 | 1.413182 | 3.51 |
| 13 | FLORESTA | 19737.558 | 0.129745 | 0.44 |
| 14 | LINIERS | 60001.547 | 0.394421 | NaN |
| 15 | MATADEROS | 116340.600 | 0.764767 | NaN |
| 16 | MONSERRAT | 71474.021 | 0.469836 | 4.39 |
| 17 | MONTE CASTRO | 26018.578 | 0.171034 | NaN |
| 18 | NUEVA POMPEYA | 97422.189 | 0.640407 | 1.32 |
| 19 | NUÑEZ | 411186.015 | 2.702940 | 1.32 |
| 20 | PALERMO | 2217272.262 | 14.575287 | 12.72 |
| 21 | PARQUE AVELLANEDA | 537202.616 | 3.531313 | 0.88 |
| 22 | PARQUE CHACABUCO | 129775.942 | 0.853085 | 2.19 |
| 23 | PARQUE CHAS | 5123.405 | 0.033679 | 0.44 |
| 24 | PARQUE PATRICIOS | 249352.862 | 1.639126 | 2.63 |
| 25 | PATERNAL | 81800.308 | 0.537716 | 0.88 |
| 26 | PUERTO MADERO | 2825066.839 | 18.570638 | 2.19 |
| 27 | RECOLETA | 336024.821 | 2.208866 | 8.33 |
| 28 | RETIRO | 142701.684 | 0.938053 | 3.51 |
| 29 | SAAVEDRA | 840890.532 | 5.527612 | 0.88 |
| 30 | SAN CRISTOBAL | 15241.868 | 0.100193 | 1.32 |
| 31 | SAN NICOLAS | 70457.296 | 0.463153 | 7.02 |
| 32 | SAN TELMO | 66733.840 | 0.438676 | 2.19 |
| 33 | VELEZ SARSFIELD | 28238.800 | 0.185628 | NaN |
| 34 | VERSALLES | 33870.618 | 0.222649 | NaN |
| 35 | VILLA CRESPO | 12319.446 | 0.080982 | 3.95 |
| 36 | VILLA DEL PARQUE | 16665.378 | 0.109550 | 1.32 |
| 37 | VILLA DEVOTO | 79363.310 | 0.521696 | 0.88 |
| 38 | VILLA GRAL. MITRE | 14182.663 | 0.093230 | 0.88 |
| 39 | VILLA LUGANO | 1204124.548 | 7.915339 | 0.44 |
| 40 | VILLA LURO | 32149.229 | 0.211334 | NaN |
| 41 | VILLA ORTUZAR | 13436.444 | 0.088325 | 0.88 |
| 42 | VILLA PUEYRREDON | 120704.787 | 0.793456 | NaN |
| 43 | VILLA REAL | 31568.328 | 0.207515 | NaN |
| 44 | VILLA RIACHUELO | 79177.858 | 0.520477 | NaN |
| 45 | VILLA SANTA RITA | 355.205 | 0.002335 | 0.44 |
| 46 | VILLA SOLDATI | 2860114.663 | 18.801026 | NaN |
| 47 | VILLA URQUIZA | 42825.109 | 0.281512 | 1.75 |
| barrio | %_x | proporcion_bicicletas | %_y | |
|---|---|---|---|---|
| 0 | AGRONOMIA | 0.018626 | 0.44 | 0.840619 |
| 1 | ALMAGRO | 0.060469 | 3.95 | 3.059852 |
| barrio | proporcion_espverdes | proporcion_bicicletas | proporcion_campverdes | |
|---|---|---|---|---|
| 0 | AGRONOMIA | 0.018626 | 0.44 | 0.840619 |
| 1 | ALMAGRO | 0.060469 | 3.95 | 3.059852 |
CUADRO FINAL ESTACIONES DE ECOBICIS
CUADRO FINAL ESPACIOS VERDES
CUADRO FINAL CAMPANAS VERDES
| barrio | proporcion_espverdes | |
|---|---|---|
| 46 | VILLA SOLDATI | 18.801026 |
| 26 | PUERTO MADERO | 18.570638 |
| 20 | PALERMO | 14.575287 |
| barrio | proporcion_bicicletas | |
|---|---|---|
| 20 | PALERMO | 12.72 |
| 27 | RECOLETA | 8.33 |
| 31 | SAN NICOLAS | 7.02 |
| barrio | proporcion_campverdes | |
|---|---|---|
| 4 | BELGRANO | 5.682582 |
| 47 | VILLA URQUIZA | 4.606590 |
| 15 | MATADEROS | 4.472091 |
| 7 | CABALLITO | 4.337592 |
| 37 | VILLA DEVOTO | 4.068594 |
| 20 | PALERMO | 4.068594 |